Senior Manager Data Science & Analytics - Hybrid

Stryker
Leesburg, US
Hybrid

Why this role

Pace
Steady
Collaboration
High
Autonomy
High
Decision Impact
Company
Role Level
Manager

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • improved sales performance
  • advanced analytics use cases
  • scalable solutions
  • high-performing team
Typical background
data scienceanalyticsbusiness intelligence

Transferable backgrounds

  • Coming from data scientist
  • Coming from analytics manager
  • Coming from business intelligence analyst

Skills & requirements

Required

Data ScienceAnalyticsAI CapabilitiesData ArchitectureGovernanceForecastingOperational EfficiencyTeam Leadership

Preferred

Master’s Degree In A Related Field

Stack & domain

Data ScienceAnalyticsReportingAIAdvanced Analytics

About the role

Original posting from Stryker

You will shape how sales leaders make decisions by building the analytics, reporting, and AI capabilities that power performance across our Trauma & Extremities business. This is a high-impact role where you’ll set a multi-year roadmap, strengthen data foundations, and scale advanced analytics that improve forecasting, targeting, and operational efficiency.

What you will do

  • Define and lead a multi-year data science and analytics roadmap for sales performance reporting and insights, aligned to business priorities.
  • Own the underlying data architecture and establish governance for data, models, and analytics to support scalability, accuracy, and compliance.
  • Identify and prioritize AI and advanced analytics use cases, deliver measurable business value, and scale successful solutions.
  • Partner with sales operations and business leadership to translate complex business needs into analytics products that support strategic decision-making.
  • Oversee standardized reporting frameworks that deliver timely, accurate insights on revenue, quota attainment, productivity, and key performance drivers.
  • Advance analytics maturity from descriptive reporting to predictive and prescriptive insights (e.g., revenue forecasting, territory optimization, sales targeting, gap closure).
  • Lead strategy and continuous improvement for sales operations systems and analytics platforms, including automation that reduces manual work and improves user experience.
  • Build and develop a high-performing team of 5–7 data scientists and analysts by setting priorities, operating rhythms, and performance expectations.

What you will need

Required

  • Bachelor’s degree in Business, Mathematics, Information Systems, or a related field.
  • Minimum 10 years of related work experience in data science, analytics, reporting, or analytics platform leadership.
  • Minimum 7 years of experience integrating secondary systems with an enterprise resource planning (ERP) system in a multi-vendor environment.

Preferred

  • Master’s degree in a related field.

Additional Information

  • Work arrangement: Eligible for remote or hybrid work depending on business needs and candidate location.
  • Travel: Minimum 20% as outlined above.
  • Driver’s license: Not required.
  • Relocation support: May be available depending on business needs and candidate location.

United States of America Pay Ranges:

  • US15: $179,300 - $298,700 USD Annual

Source: Stryker careers

Similar roles